bioframe
importedsoftware/bioframe
Genomic interval operations on Pandas DataFrames
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- open2c
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/open2c/bioframe
- Documentation
- unknown
- Tags
- bioinformatics · dataframes · genomic-intervals · genomic-ranges · genomics · ngs-analysis · numpy · pandas
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- polars-biobioinformatics · dataframes · genomic-intervals · genomic-ranges · genomics · pandas
Blazing-Fast Bioinformatic Operations on Python DataFrames
- SARS2seqbioinformatics · ngs-analysis
SARS2seq is a pipeline designed to process raw FastQ data from targeted SARS-CoV-2 sequencing and generate biologically correct consensus sequences of the SARS-CoV-2 genome.
- ViroConstrictorbioinformatics · ngs-analysis
ViroConstrictor is a pipeline designed to process raw FastQ data from viral amplicon-based sequencing and generate biologically correct consensus sequences of the given viral genome
- pyranges0genomics · pandas
Performant Pythonic GenomicRanges
- PyComplexHeatmapbioinformatics · pandas
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
- snp-placerbioinformatics · pandas
Take information about snps on short sequence reads and accurately place the snps in a reference genome
- api.github.com/repos/open2c/bioframeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-03, 194 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/34.json→ .entries["bioframe"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.